Joint Models for Longitudinal and Time-to-Event Data —— With Applications in R

----- 纵向与时间到事件数据的联合模型；及R的应用

ISBN: 9781439872864 出版年：2012 页码：274 Rizopoulos, Dimitris CRC Press

Introduction Inferential Objectives in Longitudinal Studies Case Studies Organization of the Book Analysis of Longitudinal Data Features of Repeated Measures Data Linear Mixed Effects Models Dropout in Longitudinal Studies Analysis of Time-to-Event Data Features of Event Time Data Relative Risk Models Time-Dependent Covariates Joint Models for Longitudinal and Time-to-Event Data The Standard Joint Model Connection with the Dropout Framework Extensions of the Standard Joint Model Parameterizations Multiple Failure Times Latent Class Joint Models Diagnostics Residuals for the Longitudinal Submodel Residuals for the Survival Submodel Random Effects Distribution Prediction and Accuracy in Joint Models Dynamic Predictions for the Survival and Longitudinal Outcomes Effect of the Parameterization on Predictions Prospective Accuracy Measures for Longitudinal Markers